class_docstr: A class that tokenizes and otherwise processes text to be encoded
  by a BERT model.
docstr: Return bert tokenizer
  
  :return: BertTokenizer
  :rtype BertTokenizer
docstr_tok: ["Return","bert","tokenizer",":","return",":","BertTokenizer",":","rtype","BertTokenizer"]
code: def get_tokenizer(self) -> BertTokenizer:
      """Return bert tokenizer
  
      :return: BertTokenizer
      :rtype BertTokenizer
      """
      return BertTokenizer.from_pretrained("bert-base-uncased")
  
file_path: interpret-text/python/interpret_text/experimental/common/preprocessor/bert_preprocessor.py
imports: import pandas
  from typing import List
  from interpret_text.experimental.common.base_explainer import BaseTextPreprocessor
  from transformers import BertTokenizer
label_desc: Use image node_id 5 for calling the BertPreprocessor obj's underlying member method code with example usage: obj.get_tokenizer() and returns: BertTokenizer